Senior Python developer

Grid Dynamics (NASDAQ: GDYN) is a leading provider of technology consulting, platform and product engineering, AI, and advanced analytics services. Founded in 2006, Grid Dynamics is headquartered in Silicon Valley with offices across the Americas, Europe, and India. The company has 8 years of experience and leadership in enterprise AI, supported by expertise and investment in data, analytics, cloud & DevOps, application modernization, and customer experience.

• Strong proficiency in Python for systems automation, data processing, and integration.
• Hands-on experience with SQL for querying large datasets and managing performance metrics.
• Deep knowledge of Linux/Unix environments, shell scripting (Bash), and command-line development.
• Exceptional analytical and problem-solving skills with the ability to debug complex system-level issues.
• Clear written communication skills for documenting technical investigations and collaborating across globally distributed teams.

Nice to have:

• Practical experience with distributed build and test systems (e.g., Bazel / CMake).
• Strong familiarity with CI/CD pipelines and automated regression testing.
• Basic understanding of hardware accelerators (GPUs) or machine learning frameworks (e.g., JAX, PyTorch, TensorFlow).
• Background in Performance Engineering or SRE (Site Reliability Engineering).

• Performance Analysis & Validation: Evaluate results from automated benchmarking suites to detect and analyze performance shifts and shifts in metrics.
• Root-Cause Analysis: Perform deep-dive root-cause analysis on bisection results to identify specific code changes responsible for performance regressions.
• Infrastructure Automation: Develop and maintain Python-based tooling for benchmark automation, hardware configuration management, and automated data recovery.
• System Debugging: Troubleshoot failures within the benchmarking pipeline, including script errors, environment misconfigurations, and resource allocation issues in distributed clusters.
• Data Pipelines & Dashboards: Maintain and enhance data pipelines and visualization tools to ensure high-fidelity performance metrics are consistently available for engineering teams.
• Technical Documentation: Develop and maintain engineering playbooks and best practices to improve consistency in performance testing and incident investigation.

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